Kishan Govind

According to our database, Kishan Govind authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'.

Kishan Govind, Daniela Oliveros, Antonin Dlouhy, Marc Legros, Stefan Sandfeld

Mach. Learn. Sci. Technol., March, 2024

2023

Instance Segmentation of Dislocations in TEM Images.

Karina Ruzaeva, Kishan Govind, Marc Legros, Stefan Sandfeld

CoRR, 2023

Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties.

Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici, Kishan Govind, Stefan Sandfeld

CoRR, 2023